Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models versus Fine-Tuned Vision Transformers in Image-Based Security Applications.
| Anthology ID: | DBLP:journals/tist/TradC25 |
|---|---|
| Year: | 2025 |
| Venue: | ACM Transactions on Intelligent Systems and Technology (TIST) |
| Pages: | 89:1-89:22 |
| URL: | https://doi.org/10.1145/3735648 |
| DOI: | https://doi.org/10.1145/3735648 |
| DBLP: | journals/tist/TradC25 |
| BibTeX: |
@article{trad-2025-evaluating,
author = {Fouad Trad and
Ali Chehab},
title = {{Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models versus Fine-Tuned Vision Transformers in Image-Based Security Applications}},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {16},
number = {4},
pages = {89:1--89:22},
year = {2025},
url = {https://doi.org/10.1145/3735648},
doi = {https://doi.org/10.1145/3735648}
}